A Secure Medical Data Framework Integrating Blockchain and Edge Computing: An Attribute-Based Signcryption Approach
Tengyue Dou, Zhiming Zheng, Wangjie Qiu, Chunxia Ge · Sensors · 2025
With the rapid digitization of healthcare information, ensuring the security and privacy of patient data has become a critical research focus. This study introduces a novel Attribute-Based Signcryption (ABSC) framework combining blockchain and edge computing technologies to efficiently and securely manage medical data. The framework collects data via smart devices, which is then processed and encrypted at edge nodes and stored securely on the blockchain. Access to sensitive information is controlled with precision by predefined attribute sets, ensuring that only authorized users can retrieve the data. The experimental results demonstrate the significant advantages of this framework in improving data security, reducing computational overhead, and enhancing access efficiency.